Maximum throughput design of wireless powered communication network with IRS-NOMA based on user clustering

doi:10.19682/j.cnki.1005-8885.2023.1006

The Journal of China Universities of Posts and Telecommunications ›› 2023, Vol. 30 ›› Issue (3): 55-64.doi: 10.19682/j.cnki.1005-8885.2023.1006

• Wireless • Previous Articles Next Articles

Maximum throughput design of wireless powered communication network with IRS-NOMA based on user clustering

Guo Hui, Zhao Xuehui

1. School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo 454003,China 2. School of Electrical Engineering, Chongqing University, Chongqing 400044, China

Received:2021-09-15 Revised:2022-04-08 Online:2023-06-30 Published:2023-06-30
Contact: Guo Hui E-mail:guohui@hpu.edu.cn
Supported by:
This work was supported by the Key Scientific and Technological Projects in Henan Province (202102310560).

Abstract

Abstract:

A wireless powered communication network (WPCN) assisted by intelligent reflecting surface (IRS) is proposed in this paper, which can transfer information by non-orthogonal multiple access ( NOMA) technology. In the system, in order to ensure that the hybrid access point (H-AP) can correctly decode user information via successive interference cancellation ( SIC) technology, the information transmit power of user needs to satisfy a certain threshold, so as to meet the corresponding SIC constraints. Therefore, when the number of users who transfer information simultaneously increases, the system performance will be greatly restricted. To minimize the influence of SIC constraints on system performance, users are firstly clustered, and then each cluster collects energy from H-AP and finally, users transfer information based on NOMA with the assistance of IRS. Specifically, this paper aims to maximize the sum throughput of the system by jointly optimizing the beamforming of IRS and resource allocation of the system. The semi-definite relaxation (SDR) algorithm is employed to alternately optimize the beamforming of IRS in each time slot, and the joint optimization problem about user's transmit power and time is transformed into two optimal time allocation sub-problems. The numerical results show that the proposed optimization scheme can effectively improve the sum throughput of the system. In addition, the results in the paper further reveals the positive impact of IRS on improving the sum throughput of the system.

Key words: wireless powered communication network (WPCN), intelligent reflecting surface (IRS), user clustering

CLC Number:

TN929.5

Guo Hui, Zhao Xuehui. Maximum throughput design of wireless powered communication network with IRS-NOMA based on user clustering[J]. The Journal of China Universities of Posts and Telecommunications, 2023, 30(3): 55-64.

References

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Maximum throughput design of wireless powered communication network with IRS-NOMA based on user clustering

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